Jinlong Shi

1.5k total citations
63 papers, 846 citations indexed

About

Jinlong Shi is a scholar working on Hematology, Molecular Biology and Cancer Research. According to data from OpenAlex, Jinlong Shi has authored 63 papers receiving a total of 846 indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Hematology, 26 papers in Molecular Biology and 18 papers in Cancer Research. Recurrent topics in Jinlong Shi's work include Acute Myeloid Leukemia Research (41 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (11 papers) and MicroRNA in disease regulation (6 papers). Jinlong Shi is often cited by papers focused on Acute Myeloid Leukemia Research (41 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (11 papers) and MicroRNA in disease regulation (6 papers). Jinlong Shi collaborates with scholars based in China, United States and Netherlands. Jinlong Shi's co-authors include Lin Fu, Yifan Pang, Xiaoyan Ke, Zhiheng Cheng, Liang Quan, Longzhen Cui, Yan Liu, Tingting Qian, Weidong Wang and Yifeng Dai and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Jinlong Shi

59 papers receiving 842 citations

Peers

Jinlong Shi

HEMAT

IMMUN

ONCOL

Dominik Beck Australia

Stéphane Flamant France

Manoj M. Pillai United States

Zhaodong Zhong China

Shaoyan Hu China

Stanley Ng Canada

Robert W. Georgantas United States

Patrycja Pawlikowska France

Juan Du China

Ji‐chun Ma China

Dominik Beck Australia

Jinlong Shi

612 ×1.0

205 ×0.6

287 ×1.0

HEMAT

124 ×1.3

IMMUN

89 ×1.0

ONCOL

Citations per year, relative to Jinlong Shi Jinlong Shi (= 1×) peers Dominik Beck

Countries citing papers authored by Jinlong Shi

Since Specialization

Citations

This map shows the geographic impact of Jinlong Shi's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Jinlong Shi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jinlong Shi more than expected).

Fields of papers citing papers by Jinlong Shi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jinlong Shi. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Jinlong Shi. The network helps show where Jinlong Shi may publish in the future.

Co-authorship network of co-authors of Jinlong Shi

This figure shows the co-authorship network connecting the top 25 collaborators of Jinlong Shi. A scholar is included among the top collaborators of Jinlong Shi based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jinlong Shi. Jinlong Shi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Nie, Dekang, Yue Huang, Qianqian Liu, et al.. (2024). A Magnetic-Responsive Biomimetic Nanosystem Coated with Glioma Stem Cell Membranes Effectively Targets and Eliminates Malignant Gliomas. Biomaterials Research. 28. 123–123. 2 indexed citations

Shi, Jinlong, et al.. (2023). Research on Chemical Composition and Weathering of Ancient Glass Based on Grey Correlation. Journal of Physics Conference Series. 2508(1). 12003–12003.

Li, Gang, et al.. (2022). Space-Time Evolution and Decision-Making Mechanism of Sending Children out for Adoption. SHILAP Revista de lepidopterología.

Dong, Wei, et al.. (2021). On learning disentangled representations for individual treatment effect estimation. Journal of Biomedical Informatics. 124. 103940–103940.

Qiao, Bo, et al.. (2020). A Novel RNA‐Seq‐Based Model for Preoperative Prediction of Lymph Node Metastasis in Oral Squamous Cell Carcinoma. BioMed Research International. 2020(1). 4252580–4252580. 10 indexed citations

Yin, Chengliang, Junyan Zhang, Ming Shen, et al.. (2020). Matrix Metallopeptidase 14: A Candidate Prognostic Biomarker for Diffuse Large B-Cell Lymphoma. Frontiers in Oncology. 10. 1520–1520. 6 indexed citations

Liu, Hongyun, et al.. (2020). Heart rhythm complexity as predictors for the prognosis of end-stage renal disease patients undergoing hemodialysis. BMC Nephrology. 21(1). 536–536. 6 indexed citations

Hu, Ning, Yifan Pang, Hongmian Zhao, et al.. (2019). High expression of DOCK2 indicates good prognosis in acute myeloid leukemia. Journal of Cancer. 10(24). 6088–6094. 12 indexed citations

Liu, Yan, Rongjian Lu, Wei Cui, et al.. (2019). High IFITM3 expression predicts adverse prognosis in acute myeloid leukemia. Cancer Gene Therapy. 27(1-2). 38–44. 27 indexed citations

10.

Dai, Yifeng, Zhiheng Cheng, Yifan Pang, et al.. (2019). Prognostic value of the FUT family in acute myeloid leukemia. Cancer Gene Therapy. 27(1-2). 70–80. 19 indexed citations

11.

Liu, Yan, Zhiheng Cheng, Qihui Li, et al.. (2019). Prognostic significance of the PANK family expression in acute myeloid leukemia. Annals of Translational Medicine. 7(12). 261–261. 14 indexed citations

12.

Pang, Yifan, Jilei Zhang, Jinlong Shi, et al.. (2019). High Expression Levels of ACTN1 and ACTN3 Indicate Unfavorable Prognosis in Acute Myeloid Leukemia. Journal of Cancer. 10(18). 4286–4292. 17 indexed citations

13.

Cheng, Zhiheng, Lei Zhou, Kai Hu, et al.. (2018). Prognostic significance of microRNA-99a in acute myeloid leukemia patients undergoing allogeneic hematopoietic stem cell transplantation. Bone Marrow Transplantation. 53(9). 1089–1095. 9 indexed citations

14.

Cheng, Zhiheng, Kai Hu, Lei Tian, et al.. (2018). Clinical and biological implications of mutational spectrum in acute myeloid leukemia of FAB subtypes M4 and M5. Cancer Gene Therapy. 25(3-4). 77–83. 11 indexed citations

15.

Zhang, Xinpei, Jinlong Shi, Jilei Zhang, et al.. (2018). Clinical and biological implications of IDH1/2 in acute myeloid leukemia with DNMT3Amut. Cancer Management and Research. Volume 10. 2457–2466. 8 indexed citations

16.

Cheng, Zhiheng, Yifeng Dai, Yifan Pang, et al.. (2018). Enhanced expressions of FHL2 and iASPP predict poor prognosis in acute myeloid leukemia. Cancer Gene Therapy. 26(1-2). 17–25. 19 indexed citations

17.

Zhang, Jilei, Xinpei Zhang, Gaoqi Zhang, et al.. (2018). High expression levels of SMAD3 and SMAD7 at diagnosis predict poor prognosis in acute myeloid leukemia patients undergoing chemotherapy. Cancer Gene Therapy. 26(5-6). 119–127. 12 indexed citations

18.

Dai, Yifeng, Yuan Zhang, Xiufeng Wang, et al.. (2018). Mutational spectrum and prognostic stratification of intermediate-risk acute myeloid leukemia. Cancer Gene Therapy. 25(7-8). 207–213. 5 indexed citations

19.

Gao, Xuefeng, Fei Yan, Jiang Lin, et al.. (2015). AML1/ETO cooperates with HIF1α to promote leukemogenesis through DNMT3a transactivation. Leukemia. 29(8). 1730–1740. 66 indexed citations

20.

Shi, Jinlong, et al.. (2015). Identification of let-7a-2-3p or/and miR-188-5p as Prognostic Biomarkers in Cytogenetically Normal Acute Myeloid Leukemia. PLoS ONE. 10(2). e0118099–e0118099. 45 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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